Prediction of stiffness modulus of bituminous mixtures using the applications of multi expression programming and gene expression programming

Published: 28 December 2023| Version 2 | DOI: 10.17632/yb4brz3sdx.2
Contributor:
Lee Leon

Description

The database contains a total 360 data points which was developed using data extracted from asphalt laboratories and plant mixtures. These mixes were designed using aggregates (limestone, sharp sand and filler) and asphalt binders (Trinidad Lake Asphalt - TLA and modified binders - MB). The asphalt mixtures are dense-graded hot mix asphalt (HMA) and gap-graded stone matrix asphalt (SMA). The variables in the dataset were chosen based on the requirements of existing dynamic modulus models as well as requirements for quality control and assurance (QC & QA) evaluation of asphalt concrete mixtures. The data was used to develop soft computing models using gene expression programming and multi expression programming techniques.

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Steps to reproduce

The asphalt mixtures are dense-graded hot mix asphalt (HMA) and gap-graded stone matrix asphalt (SMA) designed with aggregates (limestone, sharp sand and filler) and three different binders that were classified by its penetration grade (40/55 - TLA, 60/75-TLA and 60/70-MB). The mixes are categorized as HMA2, HMA3, SMA1 and SMA2 and were based on their nominal maximum aggregate sizes (12.5, 9.5, 19 and 12.5 mm respectively) in the mixtures. The variables in the dataset were chosen based on the requirements of existing dynamic modulus models as well as requirements for quality control and assurance (QC & QA) evaluation of asphalt concrete mixtures. The dominant parameters covered mix physical and volumetric properties, test temperatures, and the mix variables needed during quality control and assurance assessments. The data parameters included are: binder viscosity, asphalt content, temperature, Maximum Theoretical Specific Gravity , aggregate Passing #200 sieve, Effective Asphalt Content, Cumulative percent aggregate Retained on #4 sieve, Air voids content, Cumulative percent Retained on 3/8 sieve, Density, Cumulative percent Retained on 3/4 sieve, Coarse-to-fine particle ratio, marshal stability, flow and the resilient indirect tensile stiffness modulus.

Institutions

University of the West Indies at Saint Augustine

Categories

Materials Characterization, Asphalt, Pavement, Pavement Design

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